meta-analysis of RNA-seq data using metaRNASeq packageR reading annotation columns by read.ilmn of package limmadata.table vs dplyr: can one do something well the other can't or does poorly?Complex clustering of RNA-seq dataPerform multiple survival analysis with loop in RRNA-Seq Differential Expression - DESeqDifferential gene expression analysis in PythonHow to filter genes from seuratobject in slotname @data?Rsubread: 'ERROR: cannot finish the SAM file!'Deseq2 multiple group comparisonhisat2-stringtie-ballgown pipeline gives high p-value and q-value for RNA-seq of Arabidopsis thaliana
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meta-analysis of RNA-seq data using metaRNASeq package
R reading annotation columns by read.ilmn of package limmadata.table vs dplyr: can one do something well the other can't or does poorly?Complex clustering of RNA-seq dataPerform multiple survival analysis with loop in RRNA-Seq Differential Expression - DESeqDifferential gene expression analysis in PythonHow to filter genes from seuratobject in slotname @data?Rsubread: 'ERROR: cannot finish the SAM file!'Deseq2 multiple group comparisonhisat2-stringtie-ballgown pipeline gives high p-value and q-value for RNA-seq of Arabidopsis thaliana
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I'm trying to run a meta-analysis from different RNA-Seq datasets using the package metaRNASeq. I have run the differential expression analysis for the individual datasets using DESeq2 and I obtained the differential expressed genes and the p-values. DESeq2 gives a two-tailed p-value. My question is: should I transform the p-values from two-tailed to one-tailed or I can use them directly as two-tailed to perform the meta-analysis using metaRNASeq package? Thanks in advance!!
r rna-seq
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
add a comment |
I'm trying to run a meta-analysis from different RNA-Seq datasets using the package metaRNASeq. I have run the differential expression analysis for the individual datasets using DESeq2 and I obtained the differential expressed genes and the p-values. DESeq2 gives a two-tailed p-value. My question is: should I transform the p-values from two-tailed to one-tailed or I can use them directly as two-tailed to perform the meta-analysis using metaRNASeq package? Thanks in advance!!
r rna-seq
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
add a comment |
I'm trying to run a meta-analysis from different RNA-Seq datasets using the package metaRNASeq. I have run the differential expression analysis for the individual datasets using DESeq2 and I obtained the differential expressed genes and the p-values. DESeq2 gives a two-tailed p-value. My question is: should I transform the p-values from two-tailed to one-tailed or I can use them directly as two-tailed to perform the meta-analysis using metaRNASeq package? Thanks in advance!!
r rna-seq
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
I'm trying to run a meta-analysis from different RNA-Seq datasets using the package metaRNASeq. I have run the differential expression analysis for the individual datasets using DESeq2 and I obtained the differential expressed genes and the p-values. DESeq2 gives a two-tailed p-value. My question is: should I transform the p-values from two-tailed to one-tailed or I can use them directly as two-tailed to perform the meta-analysis using metaRNASeq package? Thanks in advance!!
r rna-seq
r rna-seq
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
asked Mar 22 at 16:44
MonahAbouAlezzMonahAbouAlezz
307
307
add a comment |
add a comment |
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